#2476 Add test for episode scheduler
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@@ -227,7 +227,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"env = PrimaiteGymEnv(game_config=scenario_path)"
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"env = PrimaiteGymEnv(env_config=scenario_path)"
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]
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},
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{
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@@ -1,4 +1,3 @@
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import copy
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import json
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from os import PathLike
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from typing import Any, Dict, Optional, SupportsFloat, Tuple, Union
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@@ -25,10 +24,10 @@ class PrimaiteGymEnv(gymnasium.Env):
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assumptions about the agent list always having a list of length 1.
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"""
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def __init__(self, game_config: Union[Dict, str, PathLike]):
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def __init__(self, env_config: Union[Dict, str, PathLike]):
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"""Initialise the environment."""
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super().__init__()
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self.episode_scheduler: EpisodeScheduler = build_scheduler(game_config)
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self.episode_scheduler: EpisodeScheduler = build_scheduler(env_config)
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"""Object that returns a config corresponding to the current episode."""
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self.io = PrimaiteIO.from_config(self.episode_scheduler(0).get("io_settings", {}))
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"""Handles IO for the environment. This produces sys logs, agent logs, etc."""
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@@ -140,8 +139,8 @@ class PrimaiteRayEnv(gymnasium.Env):
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:param env_config: A dictionary containing the environment configuration.
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:type env_config: Dict
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"""
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self.env = PrimaiteGymEnv(game_config=env_config)
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self.env.episode_counter -= 1
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self.env = PrimaiteGymEnv(env_config=env_config)
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# self.env.episode_counter -= 1
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self.action_space = self.env.action_space
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self.observation_space = self.env.observation_space
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@@ -157,6 +156,11 @@ class PrimaiteRayEnv(gymnasium.Env):
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"""Close the simulation."""
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self.env.close()
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@property
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def game(self) -> PrimaiteGame:
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"""Pass through game from env."""
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return self.env.game
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class PrimaiteRayMARLEnv(MultiAgentEnv):
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"""Ray Environment that inherits from MultiAgentEnv to allow training MARL systems."""
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@@ -168,16 +172,16 @@ class PrimaiteRayMARLEnv(MultiAgentEnv):
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which is the PrimaiteGame instance.
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:type env_config: Dict
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"""
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self.game_config: Dict = env_config
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"""PrimaiteGame definition. This can be changed between episodes to enable curriculum learning."""
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self.io = PrimaiteIO.from_config(env_config.get("io_settings"))
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self.episode_counter: int = 0
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"""Current episode number."""
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self.episode_scheduler: EpisodeScheduler = build_scheduler(env_config)
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"""Object that returns a config corresponding to the current episode."""
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self.io = PrimaiteIO.from_config(self.episode_scheduler(0).get("io_settings", {}))
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"""Handles IO for the environment. This produces sys logs, agent logs, etc."""
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self.game: PrimaiteGame = PrimaiteGame.from_config(copy.deepcopy(self.game_config))
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self.game: PrimaiteGame = PrimaiteGame.from_config(self.episode_scheduler(self.episode_counter))
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"""Reference to the primaite game"""
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self._agent_ids = list(self.game.rl_agents.keys())
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"""Agent ids. This is a list of strings of agent names."""
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self.episode_counter: int = 0
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"""Current episode number."""
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self.terminateds = set()
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self.truncateds = set()
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@@ -203,9 +207,9 @@ class PrimaiteRayMARLEnv(MultiAgentEnv):
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if self.io.settings.save_agent_actions:
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all_agent_actions = {name: agent.action_history for name, agent in self.game.agents.items()}
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self.io.write_agent_actions(agent_actions=all_agent_actions, episode=self.episode_counter)
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self.game: PrimaiteGame = PrimaiteGame.from_config(cfg=copy.deepcopy(self.game_config))
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self.game.setup_for_episode(episode=self.episode_counter)
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self.episode_counter += 1
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self.game: PrimaiteGame = PrimaiteGame.from_config(self.episode_scheduler(self.episode_counter))
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self.game.setup_for_episode(episode=self.episode_counter)
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state = self.game.get_sim_state()
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self.game.update_agents(state)
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next_obs = self._get_obs()
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@@ -22,6 +22,7 @@ class EpisodeScheduler(pydantic.BaseModel, ABC):
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@abstractmethod
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def __call__(self, episode_num: int) -> Dict:
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"""Return the config that should be used during this episode."""
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...
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class ConstantEpisodeScheduler(EpisodeScheduler):
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